Short Bio

Dr Anastasios (Tasos) Megaritis is a Lecturer in Finance at Cork University Business School, University College Cork. His research focuses on the interactions between financial markets and the macroeconomy, spanning macro-finance, commodity and energy markets, and forecasting. His work has been published in peer-reviewed international journals in finance, economics and forecasting, and presented at international conferences, including the International Symposium on Forecasting and the Annual Conference of the Money, Macro and Finance Society. He reviews for the Journal of International Money and Finance, Economic Modelling and the International Journal of Finance & Economics.

Academic qualifications

• PhD in Finance (highest degree), University of Essex, Essex Business School, UK, 2022. Thesis: Financial market risk and the macroeconomy.
• MA in Higher Education Practice, Keele University, UK, 2024.
• MSc in Mathematical Modelling and Financial Engineering, National Technical University of Athens, Greece, 2018.
• BSc in Economics (Finance and Business Economics), National and Kapodistrian University of Athens, Greece, 2015.

Teaching qualifications and training

• Fellow of the Higher Education Academy (FHEA), Advance HE, 2024.
• MA in Higher Education Practice, 2024.
• SoFiE Financial Econometrics Summer School, The Econometrics of Derivatives Markets, Kellogg School of Management, Northwestern University, 2021.

Professional and industry experience

• Credit Risk Data Analyst, Optasia (Data Analytics Group), 2021–2022: machine learning models for probability-of-default estimation, reinforcement learning for credit limit assignment, and time-series and survival-analysis models for forecasting conditional default probabilities.
• External Consultant/Analyst (part-time), Optasia, 2022–2023: credit risk and credit limit assignment models, revenue optimisation strategies and analytics-based risk policy proposals.

AI and Higher Education, 2025. Role: Co-Investigator. Collaborative project with Queen Mary University of London to develop and test an AI framework for higher education, based on a survey of AI use across student groups. Funding: Advance HE, £9,100.

Anastasios's research lies at the intersection of finance and macroeconomics. His main research areas are:

• Macro-finance and financial market risk: stock market volatility, macroeconomic uncertainty, the term structure of interest rates, and the links between financial markets, monetary policy and the real economy.
• Commodity and energy markets: price dynamics, uncertainty and financial instability in oil, agricultural, energy and carbon markets, and their connections with financial markets and the wider economy.
• Forecasting and financial econometrics: forecasting economic activity, market volatility and commodity prices, and assessing the economic value of forecasts.

He is also interested in applications of machine learning and natural language processing in accounting and finance, including credit risk and the detection of financial crime.

Keywords: Macro-finance; Financial market volatility; Macroeconomic uncertainty; Term structure of interest rates; Forecasting; Financial econometrics; Commodity markets; Oil and energy markets; Agricultural commodities; Carbon markets; Machine learning; Natural language processing; Credit risk.

Anastasios teaches finance at undergraduate and postgraduate level. His teaching has covered financial technology (FinTech), financial markets and investment banking, portfolio management and ESG investing, corporate finance, company performance analysis, amongst others.

He is Co-Director of the MSc in Finance (Investment and Asset Management).

His teaching practice is recognised through Fellowship of the Higher Education Academy (FHEA) and an MA in Higher Education Practice.

PhD supervision

Co-supervisor of Sid Mallik, PhD candidate at the Data Science, Artificial Intelligence and Modelling (DAIM) Centre, University of Hull (2023–present). Thesis topic: data science in carbon markets. Funded PhD scholarship.